Description
Pandas version checks
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I have confirmed this bug exists on the latest version of pandas.
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I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
titanic.iloc[0:3, 3] = "anonymous"Issue Description
In the section:
“How do I select specific rows and columns from a DataFrame?
In the following snippet, the value 3 means 4th column.:
In [26]: titanic.iloc[0:3, 3] = "anonymous"
But in the sentence “When selecting specific rows and/or columns with loc or iloc, new values can be assigned to the selected data. For example, to assign the name anonymous to the first 3 elements of the third column:” . The word highlighted in bold talks about 3rd column. Please correct it. Thank you.
Expected Behavior
When selecting specific rows and/or columns with loc or iloc, new values can be assigned to the selected data. For example, to assign the name anonymous to the first 3 elements of the fourth column:
Installed Versions
INSTALLED VERSIONS
commit : 2e218d1
python : 3.10.11.final.0
python-bits : 64
OS : Linux
OS-release : 5.15.107+
Version : #1 SMP Sat Apr 29 09:15:28 UTC 2023
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.5.3
numpy : 1.22.4
pytz : 2022.7.1
dateutil : 2.8.2
setuptools : 67.7.2
pip : 23.1.2
Cython : 0.29.34
pytest : 7.2.2
hypothesis : None
sphinx : 3.5.4
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.9.2
html5lib : 1.1
pymysql : None
psycopg2 : 2.9.6
jinja2 : 3.1.2
IPython : 7.34.0
pandas_datareader: 0.10.0
bs4 : 4.11.2
bottleneck : None
brotli : None
fastparquet : None
fsspec : 2023.4.0
gcsfs : None
matplotlib : 3.7.1
numba : 0.56.4
numexpr : 2.8.4
odfpy : None
openpyxl : 3.0.10
pandas_gbq : 0.17.9
pyarrow : 9.0.0
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.10.1
snappy : None
sqlalchemy : 2.0.10
tables : 3.8.0
tabulate : 0.8.10
xarray : 2022.12.0
xlrd : 2.0.1
xlwt : None
zstandard : None
tzdata : 2023.3